It is bad at reverse direction though (LinkedIn -> English). If I give it LinkedIn post in corporate language, it doesn’t remove all the nonsense words. Could have been nice if it worked both ways
What I see in a German university - no change for undergraduate CS degree, which still has 50% maths annd theoretical CS and is not affected by LLMs. But in a Master’s degree they offer really lots of ML courses - from basics to CV to hardware aware. Exams in those are written on paper without any aids.
I had something similar (a lot of math and theoretical classes for the first two or three years), and I remember I was pissed off - I only wanted to write C programs! :D But 20 years later, I really appreciate my CS education. It has all paid off: calculus, statistics, probability theory, theory of computation, discrete math, data structures and algorithms, foundations of NNs, etc. Then later, foundational classes for compilers, OSes, multiprocessor programming, networking, distributed systems, and database theory - I've used it all during different stages of my career.
> Dave Barry, the humorist, experienced a brief "death" in an AI overview, which was later corrected. According to Dave Barry's Substack, the AI initially reported him as deceased, then alive, then dead again, and finally alive once more. This incident highlights the unreliability of AI for factual information.
Serious question - who and why would be using this tool? What is the use case? In other comments I have only seen exporting ChatGPT conversations to md
This is a library, not a tool. You can use it for a number of purposes:
- Providing "reader mode" for your visitors
- Using it in a browser extension to add reader mode
- Scrapping
- Plugging it into a [reverse] proxy that automatically removes unnecessary bloat from pages, for e.g. easier access on retro hardware <https://web.archive.org/web/20240621144514/https://humungus....> (archive.org link, because the website goes down regularly)
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